Triple

T14966224
Position Surface form Disambiguated ID Type / Status
Subject Żagań County E373194 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Szprotawa
Szprotawa is a town in western Poland’s Lubusz Voivodeship known for its medieval origins and location on the Bóbr River.
E1521056 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Szprotawa | Statement: [Żagań County, containsAdministrativeTerritorialEntity, Szprotawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szprotawa
Context triple: [Żagań County, containsAdministrativeTerritorialEntity, Szprotawa]
  • A. Glanów
    Glanów is a village in southern Poland located within the administrative district of Gmina Trzyciąż in Lesser Poland Voivodeship.
  • B. Suwałki
    Suwałki is a city in northeastern Poland known for its cold climate, proximity to the Lithuanian border, and location within the historical region of Podlasie.
  • C. Choszczno
    Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
  • D. Świdnik
    Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
  • E. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Szprotawa
Triple: [Żagań County, containsAdministrativeTerritorialEntity, Szprotawa]
Generated description
Szprotawa is a town in western Poland’s Lubusz Voivodeship known for its medieval origins and location on the Bóbr River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Szprotawa
Target entity description: Szprotawa is a town in western Poland’s Lubusz Voivodeship known for its medieval origins and location on the Bóbr River.
  • A. Glanów
    Glanów is a village in southern Poland located within the administrative district of Gmina Trzyciąż in Lesser Poland Voivodeship.
  • B. Suwałki
    Suwałki is a city in northeastern Poland known for its cold climate, proximity to the Lithuanian border, and location within the historical region of Podlasie.
  • C. Choszczno
    Choszczno is a small town in northwestern Poland known for its lakes, forests, and role as a local administrative and service center.
  • D. Świdnik
    Świdnik is a town in eastern Poland known for its aviation industry and proximity to the regional capital, Lublin.
  • E. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e2fdcc8190bffe603db3388736 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a96dfbd5481908eaaa45696e5b09e completed May 18, 2026, 4:34 a.m.
NEDg Description generation batch_6a0a980276bc81908e9f6c6596880a8d completed May 18, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a986105bc819082556e8dec156ab6 completed May 18, 2026, 4:41 a.m.
Created at: April 10, 2026, 2:47 a.m.